David Ha

According to our database1, David Ha authored at least 8 papers between 2017 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

2018
Recurrent World Models Facilitate Policy Evolution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optimal Classifier Model Status Selection using Bayes boundary uncertainty.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Learning via social awareness: improving sketch representations with facial feedback.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Neural Representation of Sketch Drawings.
Proceedings of the 6th International Conference on Learning Representations, 2018

Neuroevolution for deep reinforcement learning problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Pommerman: A Multi-Agent Playground.
Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018

2017
HyperNetworks.
Proceedings of the 5th International Conference on Learning Representations, 2017


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